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qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Excellent

Aug 19, 2026 · Apple M4 Max

codestral:latest

OLLAMA GGUF

llama · 22.2B · Q4_0

Good

Sep 15, 2026 · Intel Core™ i5-14400F

Global Score
84 vs 76
Hardware Fit
69 vs 91
Quality Score
90 vs 69

Hardware

qwen/qwen3.8-27b codestral:latest
MachineMacBook ProGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4
CPUApple M4 MaxIntel Core™ i5-14400F
Cores1616
RAM128 GB32 GB
GPUApple M4 MaxNVIDIA GeForce RTX 5060 Ti
OSmacOS 26.5.2Microsoft Windows 11 Professionnel 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

qwen/qwen3.8-27b codestral:latest
Tokens/sec28.927.4
First chunk33 ms86 ms
TTFT4.4 s86 ms
Load time7.9 s7.2 s
Memory usage0.0 GB12.6 GB
Memory %0%40%

HW Fit Score Breakdown

qwen/qwen3.8-27b

Speed
33/50
TTFT
6/20
Memory
30/30

codestral:latest

Speed
43/50
TTFT
20/20
Memory
28/30

Quality

qwen/qwen3.8-27b

Reasoning
19/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

codestral:latest

Reasoning
11/20
Coding
17/20
Instruction
11/20
Structured
13/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest